Welcome!

Adobe Flex Authors: Matthew Lobas, PR.com Newswire, Shelly Palmer, Kevin Benedict

News Feed Item

Analysis of the Global Video Nonlinear Editing Market

NEW YORK, Dec. 18, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Analysis of the Global Video Nonlinear Editing Market

http://www.reportlinker.com/p01056004/Analysis-of-the-Global-Video-Nonli...

Professional video segments are moving towards digital, HD, file-based and multimedia ecosystems, and these factors will drive continued demand for video nonlinear editing solutions globally. However, this market is highly concentrated with over 50 percent held by two companies, Apple and Adobe. Any strategic change in product innovation or pricing by either can significantly alter the growth trends and market landscape. This research service covers the Broadcast, Post-Production and Professionals segments; and provides an in-depth discussion of market drivers and restraints, regional analysis, competitive analysis, revenue forecasts, and technology trends. The study period is 2009-2016 with the base year as 2011.

Executive Summary

• The video nonlinear editing (NLE) market is at crossroads. The landscape of this otherwise mature and highly concentrated market was disrupted in 2011 with multiple vendors positioning different strategies, which are likely to impact growth from 2012 to 2016. • The main drivers for this market include: o The accelerated growth of multimedia video consumption and access o Continuing fall in prices for information technology (IT) hardware and software o The transition of professional video (pro-video) segments such as broadcast and postproduction to Internet Protocol (IP)- and file-based workflows • Pro-video editing today is a far cry from what it was a decade ago. Systems are faster and multifunctional, and a high-end NLE bundle costs one-fifth (if not less) than what it did in 2002. • The biggest market challenge is that more than percent of the total NLE revenue has been in the hands of Apple and Adobe, and for both of them, editing (or any pro-video solution) is not a core product. Any move from either of these companies, especially Apple, with regard to pricing and product features has had a dramatic impact on the competitive landscape over the years. • The market was especially shaken up in 2011 by Apple's release (and overhaul) of Final Cut Pro X (FCPX) at $ , with a percent price cut, which not only shrank the market size in total revenue, but also resulted in a marginal churn of FCP users to competitors. Source: Frost & Sullivan analysis. Executive SummaryMarket OverviewTotal Video Nonlinear Editing Market -• External Challenges: Drivers and Restraints• Forecasts and Trends• Market Share and Competitive AnalysisBroadcast Segment BreakdownPost-Production Segment BreakdownProfessionals Segment BreakdownThe Last WordAppendix• Learn More—Next Steps• Table of Acronyms Used

To order this report:Movie_and_Video_Production Industry: Analysis of the Global Video Nonlinear Editing Market

Nicolas Bombourg

Reportlinker

Email: [email protected]

US: (805)652-2626

Intl: +1 805-652-2626

 

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...